Model transfer in Raman spectroscopy: towards a systematic study

Shuxia Guo; Thomas Bocklitz

doi:10.1117/12.3017012

19 June 2024 Model transfer in Raman spectroscopy: towards a systematic study

Shuxia Guo, Thomas Bocklitz

Author Affiliations +

Proceedings Volume PC13011, Data Science for Photonics and Biophotonics; PC1301104 (2024) https://doi.org/10.1117/12.3017012
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

Transfer learning is an important technique to improve the model generalizability, which is crucial to apply Raman spectroscopy in biological applications considering the substantial spectral variations between batches. We systematically investigated the limit of existent model transfer methods and explored the possibilities of deep learning-based approaches in cases of limited sample size.

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Shuxia Guo and Thomas Bocklitz "Model transfer in Raman spectroscopy: towards a systematic study", Proc. SPIE PC13011, Data Science for Photonics and Biophotonics, PC1301104 (19 June 2024); https://doi.org/10.1117/12.3017012

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